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16:51ENCristóbal Valenzuela on Interactive Video Models and Runway’s ContinuumCristóbal Valenzuela · RunwayRunway’s co-founder traces next-frame prediction from early generated film to research prototypes for interactive visual interfaces.
36:45ENGarry Tan on YC Founders, Personal AI Agents and Open MarketsGuest Garry Tan · Host Walter IsaacsonIn a June 2026 interview, the Y Combinator CEO discusses founder selection, AI’s effect on work and the risk of concentrated platform power.
15:50ENTheo Compares Codex and Claude Subscription Value After Limit ChangesTheoTheo looks at estimated allowances, per-task costs and his own review experiments, while arguing that model quality remains decisive.
42:30ENInside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated ExperimentsGuest Ezra Mechaber · Host Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.
1:37:08ENJoscha Bach on Consciousness, Causal Patterns and Machine MindsGuest Joscha Bach · Host Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.
16:46ENTheo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.
1:43:15ENJoe Hudson on Decisions, Fear and Living by Your PrinciplesGuest Joe Hudson · Host Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.
15:51ENAdam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.
1:01:08ENNebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersGuest Danila Shtan · Host Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.
44:57ENTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkGuest Josh Gruenstein · Host Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.
40:04ENSophia Drossopoulou: Verifying Trusted Code in an Open WorldSophia Drossopoulou · Imperial College LondonCapabilities, scoped invariants and explicit trust assumptions help reason about effects when trusted code calls unknown objects.
51:06ENKent Beck: Build AI Programming Tools for Human NeedsKent BeckThe “genie” can amplify healthy or unhealthy development practices. Beck calls for tools that preserve learning, connection and future options.
1:07:22ENBuilding Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenGuest Jacob Lauritzen · Host swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.
20:39ENSagar Batchu: Authorizing AI Agent Actions Before They Reach an APISagar Batchu · SpeakeasyA proposed governance path combines agent identity, permission ceilings, policy decisions and audit records.
20:15ENWill Brown on Training Models That Learn From Organizational WorkWill Brown · Prime IntellectPrime Intellect’s Will Brown describes how traces, evaluations and human decisions could support continual learning alongside frontier models.
18:33ENZack Proser: Build a Factory to Help Others Tell Their StoriesZack Proser · WorkOSA WorkOS blog assistant and a bedtime-story app show how AI tools can share expertise while humans retain responsibility.
1:02:12ENModal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformGuest Erik Bernhardsson · Host Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.
1:32:16ZH → EnglishMaxInsights Founder Yuan Yuguang on Producing First-Person Training Data for RobotsGuest 袁宇光 · Host 陈茜Yuan explains the growth and quality challenges of robotics data, from head-mounted cameras and global collectors to evaluation and deployment.
27:55ENAI Safety, Model Releases and the Limits of UnderstandingAI Explained examines lab forecasts, safety commitments and competing model results, then argues for multiple safeguards as capabilities advance.
18:57ENAndrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.
15:44ENYijia Liang on Building Office-Compatible Engines for Finance AgentsYijia Liang · Compound AICompound’s approach combines shared agent inboxes, document engines and cited access to large data rooms.
16:37ENNick Nisi: What a Fruit Fly Code Reviewer Reveals About Human ReviewNick Nisi · WorkOSA simulated fruit fly becomes an unlikely code reviewer—and a starting point for a team-owned automated review pipeline.
18:52ENHahnbee Lee and Lincoln Murr on Documentation and Payments for AI AgentsHahnbee Lee, Lincoln Murr · MintlifyAs agents increasingly read docs and use services, Mintlify and Coinbase describe the importance of accurate content, APIs, payment permissions and maintenance.
1:27:47ENHector Serrano on Building a Paid Creator Program at Wispr FlowGuest Hector Serrano · Host Lenny RachitskyHow a creator-led growth team recruits, compensates and supports paid UGC creators—and uses founder storytelling alongside ads.
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